Here’s a statement you hear often: “We should diversify our vendor stack.”

It sounds smart. Instead of relying on one vendor, use multiple vendors. Reduce lock-in risk. Maintain flexibility.

In practice, it often increases complexity without delivering the expected flexibility gains.

Why Vendor Diversity Sounds Good But Creates Problems

The logic seems sound: If you use Vendor A for training and Vendor B for serving, and neither is essential, you’ve reduced your dependence on either one.

What actually happens: You use Vendor A for training. Vendor A is very good at training. You get good results. Your team learns Vendor A’s platform. Then you need serving infrastructure. You use Vendor B. Vendor B has good APIs. Your application teams integrate with Vendor B. Now you have two systems that don’t really talk to each other. Your data flows from Vendor A to your systems to Vendor B. You have integration costs. You have to manage dependencies between two vendors. You have team members who need to understand two platforms.

You haven’t reduced lock-in. You’ve just increased complexity.

And the moment something breaks—one of the vendors changes pricing, or strategy, or capability—you’re stuck. You can’t easily use Vendor A’s serving on Vendor B’s training infrastructure because they’re not designed to integrate. Moving is just as hard as it was before.

What you’ve done is created vendor fragmentation instead of vendor flexibility.

The Real Vendor Problem

The underlying insight is correct: Dependence on a single vendor is risky. But the conclusion—use multiple vendors—is wrong.

The real vendor problem is not about the number of vendors. It’s about abstraction.

If you depend on a vendor’s specific APIs, specific formats, specific infrastructure choices, then you’re locked in to that vendor. You’ve created technical debt. That’s true whether you’re using one vendor or five.

But if you have abstraction between your systems and your vendors, then you can change vendors relatively easily. You’re not locked in. That’s true whether you’re using one vendor or five.

Most organizations try to solve the problem through multiplication (use multiple vendors). The answer is actually through architectural design (separate your systems from vendor specifics). This principle applies equally regardless of which vendor serves as your primary platform—it’s about how you architect your systems, not which vendor you choose.

What Vendor Strategy Actually Needs

Here’s what a real vendor strategy looks like:

1. Choose one primary vendor for each critical function.

Don’t try to be vendor-agnostic across the board. Pick a vendor for model training. Pick a vendor for model serving. Pick a vendor for data pipelines. For each function, pick one vendor that’s genuinely best-in-class for your needs. This is where you consolidate your expertise and your integrations.

Using one vendor well beats using five vendors mediocrely.

2. Build abstraction between your systems and that vendor.

Use abstraction layers. Your applications don’t call the vendor’s APIs directly. They call your own serving layer, which calls the vendor. Your training pipelines don’t depend on the vendor’s specific interface. They depend on an abstraction.

This costs more upfront. But it means you can change vendors if you need to.

3. For each critical function, identify which alternative vendors could actually replace your primary vendor.

Don’t imagine alternatives. Be specific. Could you move to Vendor X? What would that take? How long? What would be hard?

For most organizations, you’ll find that most vendors are not realistic alternatives. That’s fine. You don’t need five alternatives for everything. You just need to know, for the truly critical functions, what realistic alternatives exist.

4. For those realistic alternatives, maintain enough operational visibility that you could move if you needed to.

This doesn’t mean running models on both systems. It means: you understand how Vendor X works. You have team members who know Vendor X. You’re not completely surprised by Vendor X’s roadmap or pricing. If you had to move, you wouldn’t be starting from zero.

5. Design new systems to be vendor-independent where it matters.

If you’re building a new critical infrastructure, architect it so you’re not dependent on vendor specifics. Use open standards. Use abstraction layers. Trade off some performance or convenience for flexibility.

If you’re extending an existing system, you might stay on the same vendor, because that’s where you have expertise and integration.

What This Prevents

When you have this kind of vendor strategy, a few things become possible that otherwise wouldn’t be:

• If a vendor raises prices dramatically, you have options. Not free options—moving is expensive. But you can move within months instead of years.

• If a vendor pivots their product roadmap away from what you need, you can evaluate alternatives without facing six-month integration projects.

• If a regulatory change requires you to move to a different vendor, you can do it.

• If you need to divest part of your business, you don’t have to take your vendor with you.

The key insight: You maintain optionality without paying the cost of total vendor diversity.

Why Most Organizations Get This Wrong

Most organizations either:

Go all-in on one vendor without thinking about alternatives. They get good results short-term. They maximize optimization and integration. But they create long-term lock-in risk.

Try to use multiple vendors for the same function. They reduce lock-in risk by increasing complexity. Now they have to integrate across vendors, maintain expertise in multiple platforms, manage dependencies. It’s expensive and it doesn’t actually reduce risk that much.

Neither is optimal.

What This Looks Like in Practice

For a typical organization with $200 million in AI spending:

Pick one vendor for model training. Spend the time to really integrate with them. Let your team become experts.

Build an abstraction layer for model serving. Use open-source serving infrastructure or one vendor, but don’t let your applications depend on vendor specifics.

For data pipelines, stay on your existing data infrastructure. Don’t move data to a model vendor’s infrastructure if you can avoid it.

For monitoring and observability, build on open standards. Not vendor-specific monitoring.

For new systems, architect them with abstraction. For existing systems that are already vendor-integrated, leave them alone. Don’t migrate them.

This way: You get 80-90% of the benefit of being completely vendor-diverse (you can actually move if you need to) but without the complexity costs of maintaining expertise across multiple vendors.

The Honest Truth About Vendor Strategy

No vendor strategy is perfect. Either you’re sacrificing some flexibility (all-in on one vendor) or you’re sacrificing some efficiency (spreading across multiple).

The question is: Which trade-off makes sense for your organization?

For most enterprises, the answer is: Consolidate on one primary vendor for each function, but architect so you’re not actually trapped. That gives you optimization benefits now and mobility options later. This approach works regardless of which vendor you choose as your primary—the advantage comes from the architectural discipline, not the vendor selection.

This is not the vendor-diversity answer. It’s the pragmatic answer.